groq-webhooks-events
Build event-driven architectures with Groq streaming, batch processing, and async patterns. Use when setting up real-time SSE endpoints, batch processing pipelines, or event-driven LLM processing with Groq. Trigger with phrases like "groq streaming", "groq events", "groq SSE", "groq batch", "groq async", "groq event-driven". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill groq-webhooks-events --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Groq Events & Async Patterns ## Overview Build event-driven architectures around Groq's inference API. Groq does not provide native webhooks, but its sub-second latency enables unique patterns: real-time SSE streaming, batch processing with callbacks, queue-based pipelines, and event processors that use Groq as an LLM classification/extraction engine. This skill uses **Read**, **Write**, and **E
What does the groq-webhooks-events skill do?
Build event-driven architectures with Groq streaming, batch processing, and async patterns. Use when setting up real-time SSE endpoints, batch processing pipelines, or event-driven LLM processing with Groq. Trigger with phrases like "groq streaming", "groq events", "groq SSE", "groq batch", "groq async", "groq event-driven". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill groq-webhooks-events --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.